Experimental News Clipping Site

Tag: async

  • AWS News Blog: Amazon FSx for Lustre increases throughput to GPU instances by up to 12x

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    Source URL: https://aws.amazon.com/blogs/aws/amazon-fsx-for-lustre-unlocks-full-network-bandwidth-and-gpu-performance/ Source: AWS News Blog Title: Amazon FSx for Lustre increases throughput to GPU instances by up to 12x Feedly Summary: Amazon FSx for Lustre now features Elastic Fabric Adapter and NVIDIA GPUDirect Storage for up to 12x higher throughput to GPUs, unlocking new possibilities in deep learning, autonomous vehicles, and HPC workloads.…

  • Hacker News: I Didn’t Need Kubernetes, and You Probably Don’t Either

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    Source URL: https://benhouston3d.com/blog/why-i-left-kubernetes-for-google-cloud-run Source: Hacker News Title: I Didn’t Need Kubernetes, and You Probably Don’t Either Feedly Summary: Comments AI Summary and Description: Yes Summary: The author discusses their transition from Kubernetes to Google Cloud Run, highlighting the latter’s cost-effectiveness, simplicity, scalability, and limitations of Kubernetes. This insight is particularly useful for professionals in cloud…

  • Simon Willison’s Weblog: Weeknotes: asynchronous LLMs, synchronous embeddings, and I kind of started a podcast

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    Source URL: https://simonwillison.net/2024/Nov/22/weeknotes/#atom-everything Source: Simon Willison’s Weblog Title: Weeknotes: asynchronous LLMs, synchronous embeddings, and I kind of started a podcast Feedly Summary: These past few weeks I’ve been bringing Datasette and LLM together and distracting myself with a new sort-of-podcast crossed with a live streaming experiment. Project: interviewing people about their projects Datasette Public Office…

  • Cloud Blog: Don’t let resource exhaustion leave your users hanging: A guide to handling 429 errors

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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/learn-how-to-handle-429-resource-exhaustion-errors-in-your-llms/ Source: Cloud Blog Title: Don’t let resource exhaustion leave your users hanging: A guide to handling 429 errors Feedly Summary: Large language models (LLMs) give developers immense power and scalability, but managing resource consumption is key to delivering a smooth user experience. LLMs demand significant computational resources, which means it’s essential to…

  • Simon Willison’s Weblog: llm-gemini 0.4

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    Source URL: https://simonwillison.net/2024/Nov/18/llm-gemini-04/#atom-everything Source: Simon Willison’s Weblog Title: llm-gemini 0.4 Feedly Summary: llm-gemini 0.4 New release of my llm-gemini plugin, adding support for asynchronous models (see LLM 0.18), plus the new gemini-exp-1114 model (currently at the top of the Chatbot Arena) and a -o json_object 1 option to force JSON output. I also released llm-claude-3…

  • Simon Willison’s Weblog: LLM 0.18

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    Source URL: https://simonwillison.net/2024/Nov/17/llm-018/#atom-everything Source: Simon Willison’s Weblog Title: LLM 0.18 Feedly Summary: LLM 0.18 New release of LLM. The big new feature is asynchronous model support – you can now use supported models in async Python code like this: import llm model = llm.get_async_model(“gpt-4o") async for chunk in model.prompt( "Five surprising names for a pet…